Modeling and evaluating the capacity credit of PV solar systems using an analytical method

This paper introduces an analytical method to calculate the capacity credit of PV system in a manner that considers both the effect of input uncertainty and system components avaliability. The intermittency of the input source and system components availability were modeled separately and then convolved to construct a single capacity outage table. The discrete convolution method has been used in this work to build a generation model in the form of a capacity outage probability table. The proposed method is applied on the RBTS. The obtained results are compared to the results obtained by Monte Carlo simulation. The proposed method reduces the complexity of calculating the capacity credit of PV system considering the effect of system components availability.